At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the team.
The Maps team builds the systems and services that provide the geospatial backbone of Uber's functionality. Our group's systems mediate our users' digital connection to their physical world through traffic modeling, travel time estimation, geospatial search, hotspot computation, and map display and navigation.
We are looking for a high performing Product Analyst to make significant contributions to our mission. All Maps Product Analysts work closely with Product, Data Science, Engineering on fast moving, high-stake problems. A deep analytical passion to learn and ability to execute on key business priorities is a must.
Influencing decisions with data is the core mission of the Maps Product Analyst. An analyst is responsible for collaborating with various teams to optimize our marketplaces.
What You'll Do
Incorporate User Experience: Deeply understand what matters most to customers and use these insights to optimize the user experience
Champion for Data: Improve data access and integrity through building and maintaining effective dashboards and collaborating with Engineering to improve data accuracy and reliability
Manage Stakeholders: Create effective working relationships with stakeholders by managing objectives and expectations and ensure we make data-driven decisions regarding product
Explore Data: Proactively explore quantitative and qualitative data to identify product opportunities and discover product insights
Define Metrics: Develop key success metrics critical for evaluating product success from a business and user perspective
Experiment: Conduct experiments (e.g., A/B and switchbacks) to evaluate the impact of new product features
Solve Problems: Tackle problems in creative and logical ways and consistently brainstorm alternative solutions
Distill Complicated Information: Translate complicated models and algorithms for non-data-savvy stakeholders and tell compelling, concise stories with data
Drive Insights Through Data: Provide insights and actionable recommendations for business stakeholders based on deep analysis and alignment with business goals
Connect Science with Business: Prioritize problems using business intuition and approach solutions with deep scientific rigor
Collaborate Cross-functionally: Partner and collaborate with teams across the organization to remove roadblocks and unlock new opportunities
What You'll Need
Bachelor's Degree, preferably in a quantitative discipline such as Economics, Statistics, Computer Science, or Engineering
2-4 years relevant experience in product or data analytics
Experience defining user-experience and business metrics
Proficiency with SQL or a scripting language such as R or Python
Experience using experimentation to analyze the impact of new features (e.g., A/Bs, multi-variate testing, switchbacks, casual impact, etc)
Experience working with large / diverse data sets
Experience telling stories with data to both technical and non-technical audiences and creating clear and compelling visualizations to convey complex data
Experience managing stakeholders including strong communication and presentation skills
Nice to Have
Experience in product strategy and development
Experience working with a two-sided Marketplace
Strong coding skills (e.g., R, Python)
Strong statistics, economics, engineering, or mathematics background
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.